The Cryosphere Discuss., 4, 2201-2231, 2010
www.the-cryosphere-discuss.net/4/2201/2010/
doi:10.5194/tcd-4-2201-2010
© Author(s) 2010. This work is distributed
under the Creative Commons Attribution 3.0 License.
Review Status
This discussion paper has been under review for the journal The Cryosphere (TC). Please refer to the corresponding final paper in TC.
Data assimilation using a hybrid ice flow model
D. N. Goldberg and O. V. Sergienko
Geophysical Fluid Dynamics Laboratory, Princeton, USA

Abstract. Hybrid models, or depth-integrated flow models that include the effect of both longitudinal stresses and vertical shearing, are becoming more prevalent in dynamical ice modeling. Under a wide range of conditions they closely approximate the well-known First Order stress balance, yet are of computationally lower dimension, and thus require less intensive resources. Concomitant with the development and use of these models is the need to perform inversions of observed data. Here, an inverse control method is extended to use a hybrid flow model as a forward model. We derive an adjoint of a hybrid model and use it for inversion of ice-stream basal traction from observed surface velocities. A novel aspect of the adjoint derivation is a retention of non-linearities in Glen's flow law. Experiments show that including those nonlinearities is advantageous in minimization of the cost function, yielding a more efficient inversion procedure.

Citation: Goldberg, D. N. and Sergienko, O. V.: Data assimilation using a hybrid ice flow model, The Cryosphere Discuss., 4, 2201-2231, doi:10.5194/tcd-4-2201-2010, 2010.
 
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